Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276
Agent
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Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Paper • 2510.08002 • Published • 24 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
The Denario project: Deep knowledge AI agents for scientific discovery
Paper • 2510.26887 • Published • 8 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 238 -
WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research
Paper • 2509.13312 • Published • 106 -
LIMI: Less is More for Agency
Paper • 2509.17567 • Published • 104 -
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Paper • 2509.02479 • Published • 84 -
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
Paper • 2509.01055 • Published • 81 -
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
Paper • 2511.16043 • Published • 110 -
Scaling Agent Learning via Experience Synthesis
Paper • 2511.03773 • Published • 83 -
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
Paper • 2511.18538 • Published • 304 -
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
Paper • 2602.07085 • Published • 190 -
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning
Paper • 2604.02721 • Published • 628 -
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
Paper • 2604.08377 • Published • 290 -
Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents
Paper • 2604.06132 • Published • 121 -
CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery
Paper • 2604.01658 • Published • 56 -
Neural Computers
Paper • 2604.06425 • Published • 31 -
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
Paper • 2604.26752 • Published • 106 -
Heterogeneous Scientific Foundation Model Collaboration
Paper • 2604.27351 • Published • 215 -
FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments
Paper • 2604.25135 • Published • 12 -
The Last Harness You'll Ever Build
Paper • 2604.21003 • Published • 5 -
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
Paper • 2604.22748 • Published • 226 -
Recursive Multi-Agent Systems
Paper • 2604.25917 • Published • 268 -
From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company
Paper • 2604.22446 • Published • 121 -
The Last Human-Written Paper: Agent-Native Research Artifacts
Paper • 2604.24658 • Published • 20 -
SkillOS: Learning Skill Curation for Self-Evolving Agents
Paper • 2605.06614 • Published • 44 -
Auto Research with Specialist Agents Develops Effective and Non-Trivial Training Recipes
Paper • 2605.05724 • Published • 15 -
A^2TGPO: Agentic Turn-Group Policy Optimization with Adaptive Turn-level Clipping
Paper • 2605.06200 • Published • 14 -
Self-Distilled Agentic Reinforcement Learning
Paper • 2605.15155 • Published • 94 -
STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?
Paper • 2605.06527 • Published • 42 -
ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both
Paper • 2605.15198 • Published • 18 -
Orchard: An Open-Source Agentic Modeling Framework
Paper • 2605.15040 • Published • 16 -
Dynamic Latent Routing
Paper • 2605.14323 • Published • 4